Machine Learning

Constructing High-Fidelity Phenotype Knowledge Graphs for Infectious Diseases With a Fine-Grained Semantic Information Model: Development and Usability Study

Lizong Deng, Luming Chen, Tao Yang, Mi Liu, Shicheng Li, Taijiao Jiang

J Med Internet Res 2021 (Jun 15); 23(6):e26892

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Automation of Article Selection Process in Systematic Reviews Through Artificial Neural Network Modeling and Machine Learning: Protocol for an Article Selection Model

Gabriel Ferraz Ferreira, Marcos Gonçalves Quiles, Tiago Santana Nazaré, Solange Oliveira Rezende, Marcelo Demarzo

JMIR Res Protoc 2021 (Jun 15); 10(6):e26448

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Real-time Prediction of the Daily Incidence of COVID-19 in 215 Countries and Territories Using Machine Learning: Model Development and Validation

Yuanyuan Peng, Xinjian Chen, Yibiao Rong, Chi Pui Pang, Xinjian Chen, Haoyu Chen

J Med Internet Res 2021 (Jun 14); 23(6):e24285

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Monitoring Diagnostic Safety Risks in Emergency Departments: Protocol for a Machine Learning Study

Moein Enayati, Mustafa Sir, Xingyu Zhang, Sarah J Parker, Elizabeth Duffy, Hardeep Singh, Prashant Mahajan, Kalyan S Pasupathy

JMIR Res Protoc 2021 (Jun 14); 10(6):e24642

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Machine Learning for Risk Group Identification and User Data Collection in a Herpes Simplex Virus Patient Registry: Algorithm Development and Validation Study

Svitlana Surodina, Ching Lam, Svetislav Grbich, Madison Milne-Ives, Michelle van Velthoven, Edward Meinert

JMIRx Med 2021 (Jun 11); 2(2):e25560

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Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

Piers Gooding, Timothy Kariotis

JMIR Ment Health 2021 (Jun 10); 8(6):e24668

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Medical Insights from Posts About Irritable Bowel Syndrome by Adolescent Patients and Their Parents: Topic Modeling and Social Network Analysis

Bu Zhong, Qian Liu

J Med Internet Res 2021 (Jun 09); 23(6):e26867

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Implementing Vertical Federated Learning Using Autoencoders: Practical Application, Generalizability, and Utility Study

Dongchul Cha, MinDong Sung, Yu-Rang Park

JMIR Med Inform 2021 (Jun 09); 9(6):e26598

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Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach

Munirul M Haque, Masud Rabbani, Dipranjan Das Dipal, Md Ishrak Islam Zarif, Anik Iqbal, Amy Schwichtenberg, Naveen Bansal, Tanjir Rashid Soron, Syed Ishtiaque Ahmed, Sheikh Iqbal Ahamed

JMIR Med Inform 2021 (Jun 08); 9(6):e29242

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Deep Learning Application for Vocal Fold Disease Prediction Through Voice Recognition: Preliminary Development Study

Hao-Chun Hu, Shyue-Yih Chang, Chuen-Heng Wang, Kai-Jun Li, Hsiao-Yun Cho, Yi-Ting Chen, Chang-Jung Lu, Tzu-Pei Tsai, Oscar Kuang-Sheng Lee

J Med Internet Res 2021 (Jun 08); 23(6):e25247

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Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study

Zahid Ullah, Farrukh Saleem, Mona Jamjoom, Bahjat Fakieh

J Med Internet Res 2021 (Jun 04); 23(6):e28856

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A Prediction Model for Detecting Developmental Disabilities in Preschool-Age Children Through Digital Biomarker-Driven Deep Learning in Serious Games: Development Study

Ho Heon Kim, Jae Il An, Yu Rang Park

JMIR Serious Games 2021 (Jun 04); 9(2):e23130

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Unsupervised Machine Learning for Identifying Challenging Behavior Profiles to Explore Cluster-Based Treatment Efficacy in Children With Autism Spectrum Disorder: Retrospective Data Analysis Study

Julie Gardner-Hoag, Marlena Novack, Chelsea Parlett-Pelleriti, Elizabeth Stevens, Dennis Dixon, Erik Linstead

JMIR Med Inform 2021 (Jun 02); 9(6):e27793

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Neural Network Pattern Recognition of Ultrasound Image Gray Scale Intensity Histograms of Breast Lesions to Differentiate Between Benign and Malignant Lesions: Analytical Study

Arivan Ramachandran, Shivabalan Kathavarayan Ramu

JMIR Biomed Eng 2021 (Jun 02); 6(2):e23808

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Age-Stratified Infection Probabilities Combined With a Quarantine-Modified Model for COVID-19 Needs Assessments: Model Development Study

Vena Pearl Bongolan, Jose Marie Antonio Minoza, Romulo de Castro, Jesus Emmanuel Sevilleja

J Med Internet Res 2021 (May 31); 23(5):e19544

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A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study

Eugene Yu-Chuan Kang, Ling Yeung, Yi-Lun Lee, Cheng-Hsiu Wu, Shu-Yen Peng, Yueh-Peng Chen, Quan-Ze Gao, Chihung Lin, Chang-Fu Kuo, Chi-Chun Lai

JMIR Med Inform 2021 (May 31); 9(5):e28868

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A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

Geza Halasz, Michela Sperti, Matteo Villani, Umberto Michelucci, Piergiuseppe Agostoni, Andrea Biagi, Luca Rossi, Andrea Botti, Chiara Mari, Marco Maccarini, Filippo Pura, Loris Roveda, Alessia Nardecchia, Emanuele Mottola, Massimo Nolli, Elisabetta Salvioni, Massimo Mapelli, Marco Agostino Deriu, Dario Piga, Massimo Piepoli

J Med Internet Res 2021 (May 31); 23(5):e29058

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Pain Recognition With Electrocardiographic Features in Postoperative Patients: Method Validation Study

Emad Kasaeyan Naeini, Ajan Subramanian, Michael-David Calderon, Kai Zheng, Nikil Dutt, Pasi Liljeberg, Sanna Salantera, Ariana M Nelson, Amir M Rahmani

J Med Internet Res 2021 (May 28); 23(5):e25079

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Using Unsupervised Machine Learning to Identify Age- and Sex-Independent Severity Subgroups Among Patients with COVID-19: Observational Longitudinal Study

Julián Benito-León, Mª Dolores del Castillo, Alberto Estirado, Ritwik Ghosh, Souvik Dubey, J Ignacio Serrano

J Med Internet Res 2021 (May 27); 23(5):e25988

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A Roadmap for Automating Lineage Tracing to Aid Automatically Explaining Machine Learning Predictions for Clinical Decision Support

Gang Luo

JMIR Med Inform 2021 (May 27); 9(5):e27778

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